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1from transformers import pipeline
2
3generator = pipeline("text-generation", model="Amitgm/falcon-7b-qlora-chat-FDA_Pharmaceuticals_FAQ")
4prompt = "<human>: What medicines should I take for thyroid?"
5response = generator(prompt)
6print(response[0]["generated_text"])
7
8
9[More Information Needed]
10
11## Training Details
12
13### Training Data
14
15<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
16
17[More Information Needed]
18
19### Training Procedure
20
21<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
22
23#### Preprocessing [optional]
24
25[More Information Needed]
26
27
28#### Training Hyperparameters
29
30- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
31
32#### Speeds, Sizes, Times [optional]
33
34<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
35
36[More Information Needed]
37
38## Evaluation
39
40<!-- This section describes the evaluation protocols and provides the results. -->
41
42### Testing Data, Factors & Metrics
43
44#### Testing Data
45
46<!-- This should link to a Dataset Card if possible. -->
47
48[More Information Needed]
49
50#### Factors
51
52<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
53
54[More Information Needed]
55
56#### Metrics
57
58<!-- These are the evaluation metrics being used, ideally with a description of why. -->
59
60[More Information Needed]
61
62### Results
63
64[More Information Needed]
65
66#### Summary
67
68
69
70## Model Examination [optional]
71
72<!-- Relevant interpretability work for the model goes here -->
73
74[More Information Needed]
75
76## Environmental Impact
77
78<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
79
80Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
81
82- **Hardware Type:** [More Information Needed]
83- **Hours used:** [More Information Needed]
84- **Cloud Provider:** [More Information Needed]
85- **Compute Region:** [More Information Needed]
86- **Carbon Emitted:** [More Information Needed]
87
88## Technical Specifications [optional]
89
90### Model Architecture and Objective
91
92[More Information Needed]
93
94### Compute Infrastructure
95
96[More Information Needed]
97
98#### Hardware
99
100[More Information Needed]
101
102#### Software
103
104[More Information Needed]
105
106## Citation [optional]
107
108<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
109
110**BibTeX:**
111
112[More Information Needed]
113
114**APA:**
115
116[More Information Needed]
117
118## Glossary [optional]
119
120<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
121
122[More Information Needed]
123
124## More Information [optional]
125
126[More Information Needed]
127
128## Model Card Authors [optional]
129
130[More Information Needed]
131
132## Model Card Contact
133
134[More Information Needed]